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Steampunk

Federal software solutions delivering user-focused outcomes

Enterprise Data Architect

Data ManagementPosted on Nov 5
Full-timeMcLean, VA, USA$135k - $165k /yrIn-person

About the Job

Requirements

  • Ability to hold a position of public trust or higher clearance as required.
  • A bachelor's or master's degree in Computer Science, Data Engineering, Information Systems, Data Architecture, or a related technical field.
  • At least 8 years of experience in data architecture, data engineering, or enterprise information architecture roles.
  • Strong experience designing conceptual, logical, and physical data models for analytical, transactional, or domain-driven applications.
  • Proficiency with modern data platforms and architectural patterns, including lakehouse, data warehouse, data mesh, streaming architectures, and multi-cloud ecosystems such as AWS, Azure, and GCP.
  • Hands-on experience with modeling and metadata tools such as ERWin, ER/Studio, dbt, Collibra, Alation, or Atlan.
  • Understanding of distributed computing frameworks such as Spark and Databricks, relational and NoSQL databases, and cloud-native storage and compute layers.
  • Experience designing data integration approaches such as ETL/ELT pipelines, streaming with Kafka, Kinesis, or EventHub, CDC, API integration, and virtualization.
  • Knowledge of data governance, metadata management, lineage, data quality, and Zero Trust architecture principles.
  • Ability to guide cross-functional teams, facilitate design sessions, and influence architectural decisions across programs.
  • Strong communication skills, including the ability to translate architectural concepts for technical and non-technical stakeholders, including executive audiences.
  • Mentoring experience and demonstrated ability to guide the growth of junior and mid-level architects and engineers.

Responsibilities

  • Lead a team of Data Architects and Data Engineers in designing conceptual, logical, and physical data models that support analytics, AI/ML, operational applications, and enterprise integration needs.
  • Develop and maintain canonical data models, semantic layers, metadata structures, and domain-oriented schemas aligned with enterprise data strategies.
  • Guide the adoption of lakehouse, data mesh, data fabric, domain-driven design, and event-driven integration patterns.
  • Establish standards for data modeling, schema evolution, semantic consistency, and data contract design across teams and systems.
  • Partner with Data Engineering, MLOps/LLMOps, and AI Development teams to ensure data architectures support scalable pipelines, feature engineering, and high-performing ML/AI workloads.
  • Conduct data architecture reviews to ensure alignment with enterprise reference architectures, security principles, performance expectations, and modernization roadmaps.
  • Lead integration strategy across platforms, including API-driven data access, streaming and event frameworks, CDC pipelines, virtualization layers, and metadata-driven automation.
  • Work with mission stakeholders, product teams, and UX researchers to translate requirements into data structures that support workflows and decision-making.
  • Oversee governance-aligned design practices, including lineage, cataloging, data quality frameworks, tagging strategies, and Zero Trust data-access patterns.
  • Mentor Data Architects and senior Data Engineers, elevating architectural thinking, modeling capabilities, and technical decision-making across the team.
  • Evaluate metadata platforms, data modeling tools, data virtualization engines, and event brokers, and guide strategic adoption.
  • Contribute reusable architectural artifacts, including reference models, standards, playbooks, integration patterns, and platform design templates.
  • Support pre-sales and proposal efforts by defining solution architectures, estimating delivery complexity, and articulating modernization strategies.
  • Contribute to the growth of the AI & Data Exploitation Practice.

Desired Qualifications

  • CompTIA Network+ certification.
  • AWS Solutions Architect Associate or Professional certification.
  • Azure Data Engineer or Solutions Architect certification.
  • Google Professional Data Engineer certification.
  • Databricks Data Engineer Professional certification.
  • TOGAF, DAMA CDMP, or enterprise architecture certification.

About the Company

Steampunk

Federal software solutions delivering user-focused outcomes

Steampunk helps U.S. federal government agencies deliver digital programs and services. The company partners with government clients, using a startup-style, customer-centered delivery approach to design, develop, and deploy software and services that support mission goals. Its products and work are executed in close collaboration with clients, emphasizing rapid delivery and high-quality user experiences. Steampunk differentiates itself by focusing specifically on federal customers and by embedding client input at every step of the process, from planning through deployment, so outcomes meet user needs and mission requirements at speed. The overall goal is to produce reliable, usable solutions that achieve clear mission impacts for government programs.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Winston-Salem, NC
Founded
2002

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